DeepSeek MCP Server

A server for code generation and completion using the DeepSeek API.

An MCP server implementation that provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.

- Code generation with language-specific support
- Code completion with context awareness
- Code optimization with multiple targets
- Tool chaining for complex operations
- Built-in caching for cost optimization
- TypeScript implementation with full type safety

Generate code using DeepSeek API with language-specific support.

{ "name": "generate_code", "params": { "prompt": "Write a function that sorts an array", "language": "typescript", "temperature": 0.7 } }

Get intelligent code completions based on existing context.

{ "name": "complete_code", "params": { "code": "function processData(data) {", "prompt": "Add input validation and error handling", "temperature": 0.7 } }

Optimize existing code for performance, memory usage, or readability.

{ "name": "optimize_code", "params": { "code": "your code here", "target": "performance" } }

Execute a chain of tools in sequence, with context passing between steps.

{ "name": "execute_chain", "params": { "steps": [ { "toolName": "generate_code", "params": { "prompt": "Create a REST API endpoint", "language": "typescript" } }, { "toolName": "optimize_code", "params": { "target": "performance" } } ] } }

- Clone the repository
- Install dependencies:
- Configure your DeepSeek API key in the MCP settings file:

{ "mcpServers": { "deepseek": { "command": "node", "args": ["/path/to/deepseek-mcp/build/index.js"], "env": { "DEEPSEEK_API_KEY": "your-api-key" } } } }

The server can be used with any MCP-compatible client. Here's an example using the MCP CLI:

mcp use deepseek generate_code --params '{"prompt": "Write a hello world program", "language": "python"}'

Tool chaining allows you to combine multiple operations into a single workflow. Each tool in the chain can access the results of previous tools through the chain context.
- Generate initial code
- Complete the code with error handling
- Optimize the final result

{ "steps": [ { "toolName": "generate_code", "params": { "prompt": "Create a user authentication function", "language": "typescript" } }, { "toolName": "complete_code", "params": { "prompt": "Add input validation and error handling" } }, { "toolName": "optimize_code", "params": { "target": "security" } } ] }

The server implements several strategies to optimize API costs:
- Request caching with TTL
- Chain result caching
- Smart prompt construction
- Metadata tracking for usage analysis

- Node.js >= 18.0.0
- DeepSeek API key
- MCP-compatible client

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